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Fuzzy decision support for the control of detergent production
Author(s) -
Setnes Magne,
Babuška Robert
Publication year - 2001
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.654
Subject(s) - supervisor , fuzzy logic , production (economics) , quality (philosophy) , process (computing) , fuzzy control system , product (mathematics) , computer science , control (management) , variety (cybernetics) , decision support system , fuzzy rule , control engineering , engineering , industrial engineering , data mining , mathematics , artificial intelligence , philosophy , geometry , epistemology , political science , law , economics , macroeconomics , operating system
Abstract This paper describes a fuzzy decision support system (DSS) for the control of a detergent production process. The application has been carried out at a real‐world, large‐scale industrial production plant in the Netherlands, where a large variety of powder‐based detergents for industrial users are produced in a spray drying process. The system consists of several fuzzy rule bases that model the control actions of experienced process operators in response to different quality deviations of the product. A hierarchical architecture of the fuzzy system is introduced to cope with the complexity. A fuzzy supervisor is used to deal with process constraints and to activate the applicable rule bases when control actions are needed. In this way, a system is obtained that enables the control of the process within stricter quality bounds than those applied by human operators alone. During in‐production evaluation, the average improvement in the quality parameters for all product classes was above 30 percent. Copyright © 2001 John Wiley & Sons, Ltd.